一种新型在线长输管道管体检测技术

文中介绍一种以磁应力为原理的检测技术,即磁力断层摄影检测技术.该技术是一种非接触式的被动检测技术,可以检测出长输管道管体各类型缺陷.首先简单阐述了检测原理,其次详细说明了执行一次检测的全流程工作步骤,以及各步骤的工作内容,然后简要介绍了其独特的经验性计算MAOP和剩余寿命的公式,接着以实际试点检测工作为例,说明了该技术的可行性,最后指明了该技术的优缺点.     

A hybrid Bayesian Network approach to detect driver cognitive distraction

Driver cognitive distraction (e.g., hand-free cell phone conversation) can lead to unapparent, but detrimental, impairment to driving safety. Detecting cognitive distraction represents an important function for driver distraction mitigation systems. We developed a layered algorithm that integrated two data mining methods—Dynamic Bayesian Network (DBN) and supervised clustering—to detect cognitive distraction using eye movement and driving performance measures. In this study, the algorithm was trained and tested with the data collected in a simulator-based study, where drivers drove either with or without an auditory secondary task. We calculated 19 distraction indicators and defined cognitive distraction using the experimental condition (i.e., “distraction” as in the drives with the secondary task, and “no distraction” as in the drives without the secondary task). We compared the layered algorithm with previously developed DBN and Support Vector Machine (SVM) algorithms. The results showed that the layered algorithm achieved comparable prediction performance as the two alternatives. Nonetheless, the layered algorithm shortened training and prediction time compared to the original DBN because supervised clustering improved computational efficiency by reducing the number of inputs for DBNs. Moreover, the supervised clustering of the layered algorithm revealed rich information on the relationship between driver cognitive state and performance. This study demonstrates that the layered algorithm can capitalize on the best attributes of component data mining methods and can identify human cognitive state efficiently. The study also shows the value in considering the supervised clustering method as an approach to feature reduction in data mining applications.     

基于ANSYS有限元分析的海底管道变形数值模拟

某海底管道由于拖锚损伤导致局部失效变形。文中基于变形管道的偏移量、着力点破坏程度、塑性变形区域等信息,通过ANSYS有限元分析软件对管道在锚拉力作用下的变形过程进行数值模拟,计算变形管道所受的最大拉力和弯曲角度等参数,并验证整个变形过程。结果表明,该海底管道在至少2 657 k N的外力作用下牵引拉伸导致变形失效。     

基于瞬时转速分析的柴油机气缸压缩性能检测方法

提出了一种利用柴油机倒拖过程瞬时转速分析来检测气缸压缩性能的方法。通过试验同步测量了车辆倒拖过程的曲轴瞬时转速和气缸压缩压力信号,利用径向基神经网络（RBF ）模型,建立了瞬时转速与气缸压缩压力的非线性映射关系,实现了由瞬时转速波动特征来间接检测气缸压缩压力,并由此判断气缸的压缩性能。     

Experimental Study of Surface Detection of Gas Pipeline Buried in Soil

IntroductionGas pipelines buried in soil are necessary intransport process of city gas. Whether it is safe ornot is related to the safety of tens of thousands do-mestic customers in life and the industrial cus-tomers in work.Because of the high-speed development of thegas business in Shanghai, the gas users are ex-panded from hundreds of thousands in several mil-lions, and the gas pipeline is also developed fromingot tube into steel pipe. The underground steel-pipelines will bring into all ki…     

排气管气-固耦合系统振动特性

推导出两端简支排气管气固耦合系统振动方程,研究排气管气固耦合系统的振动特性,并通过实验分析排气管气固耦合系统在特殊环境下的频率,为改善排气管的排气消声性能积累经验。     

一种用于机车监控装置的便携式速度、信号测试仪

介绍便携式速度、信号测试仪的功能及工作原理,分析其硬件和软件的结构。并对测试仪中小型微处理器的广泛应用和测试仪的功能扩展提供了灵活的设计,克服了以前测试仪笨重的缺点,具有较好的应用价值。     

带负荷热试中O2传感器的故障检测

论述了某3.4 L6缸电控汽油机带负荷20 min热试项目中试验工况的设置、数据分析、波形对比和故障 检测。基于O2传感器的结构和工作原理详细介绍了在本项试验中应用的对比分析法。通过对试验数据的统计分 析,对检测到的O2传感器常见故障进行时域分析。结果表明,应用对比分析法成功地实现了对O2传感器的故障 检测。     

盾构超近距下穿大型污水管线施工技术

结合郑州地铁1号线七里河站——新郑州站站区间隧道穿越污水管工程实例,重点介绍盾构超近距下穿大型污水管线的施工技术。通过采用数值仿真分析、试验段和穿越前的模拟控制等手段摸索和掌握盾构穿越施工参数,以科学监测和必要的二次补浆为保障措施,严格落实施工方案,成功超近距离穿越大型污水管线。最后,提出盾构超近距离穿越污水管线时的技术参数控制建议,以期为类似工程提供参考。     

高精度模态应变能法结构损伤检测研究

基于摄动理论,通过考虑结构参数修改量高阶项的影响,推导了基于单元模态应变能的结构损伤评估方法;数值仿真结果表明,在结构多种损伤情况下,损伤定位准确、程度评估可靠,具有实际应用价值。